An Enhanced Knowledge Injection Model for Commonsense Generation-Reference-Cited by-同舟云学术

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An Enhanced Knowledge Injection Model for Commonsense Generation

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Computational Linguistics
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Author:

Fan Zhihao,Gong Yeyun,Wei Zhongyu,Wang Siyuan,Huang Yameng,Jiao Jian,Huang Xuanjing,Duan Nan,Zhang Ruofei

Publisher

International Committee on Computational Linguistics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. End-to-end hard constrained text generation via incrementally predicting segments;Knowledge-Based Systems;2023-10

2. KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Knowledge-Augmented Methods for Natural Language Processing;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining;2023-02-27

4. PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge;Knowledge-Based Systems;2022-11

5. A Survey of Knowledge-enhanced Text Generation;ACM Computing Surveys;2022-01-31

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